*Very positive knowledge of statistical techniques such as clustering, segmentation, ranking, correlation, or regression etc.*
*Use sophisticated statistical techniques to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools in day-to-day operations.*
*Ability to recognizing information and patterns in data that are not obvious, and focusing analytical efforts in pursuit of explanations, isolations of cause and effect.*
*Accountabilities:*
- *Provide analytical support for different types of modelling tasks and projects, including model developments.*
- *Work independently on variety of analytical tasks and projects during the production of model monitoring report, validations, and collaborations.*
- *Work on projects to support initiative across decision science.*
- *Work and build wrap rapport with business contacts, communicating analysis clearly and delivering out to agreed plans and time scales.*
- *Take ownership and provides technical leadership to more junior analysts in the team.*
- *Support model implementation and testing.*
- *Comply with policies and apply best practises to all aspects of work.*
- *Deputise for manager when required.*
*Act in line with the groups value and behaviours*
Preferred candidate profile
- *Degree with quantitative content or equal skills derived from experience.*
- *Experience extracting, manipulating, and drawing insight from the data*
- *Experience of working on design, development, and validation of credit risk models*
- *excel SAS, SQL, or similar experience*
- *demonstrates initiative and problem-solving skills*
- *good organisational and project management skills and ability to deliver tasks and project to deadlines*
- *good written and verbal communication and presentation skills and ability to build report with the stakeholders to suggest the solution and communicate the impacts*
- *good knowledge of the fundamental principles of banking credit Risk man